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在一项为期 10 周的饮食干预研究中体重减轻和脱落的临床相关性:NUGENOB 项目的结果。

Clinical correlates of weight loss and attrition during a 10-week dietary intervention study: results from the NUGENOB project.

机构信息

National Multiprofile Transport Hospital, Sofia, Bulgaria.

出版信息

Obes Facts. 2012;5(6):928-36. doi: 10.1159/000345951. Epub 2012 Dec 22.

Abstract

OBJECTIVE

The aim of this study was to identify the pre-treatment subject characteristics and weight loss changes as determinants of weight loss and attrition during a 10-week dietary intervention study.

METHODS

A total of 771 obese subjects (BMI 35.6 kg/m(2)) of both genders were included from 8 clinical centres in 7 European countries, who underwent a 10-week dietary intervention study comparing two hypo-energetic (-600 kcal/day) diets varying in fat content.

RESULTS

The multiple regression model showed that weight loss at week 10 was predicted by: 6.55 + 1.27 × early weight loss (kg) at week 1 + 1.35 × gender (R(2) = 0.28, p < 0.001). When performing the corresponding model with half-way weight loss (week 5) as covariate, the regression equation was: weight loss (kg) at week 10 = 1.88 + 1.38 × half-way weight loss (kg) (week 5) + 0.42 × gender (R(2) = 0.77, p < 0.001). A cut-off target of ≥ 4 kg weight loss at week 5 emerged as an optimal predictor for reaching at least 10% weight loss at week 10. Greater attrition likelihood was predicted by high-fat diet, decreased early and half-way weight losses.

CONCLUSION

Early and half-way weight losses are associated with and could contribute to prediction of the final weight loss and attrition.

摘要

目的

本研究旨在确定治疗前的个体特征和体重减轻变化,作为一项为期 10 周饮食干预研究中体重减轻和脱落的决定因素。

方法

共有来自 7 个欧洲国家 8 个临床中心的 771 名肥胖患者(BMI 35.6 kg/m²)参与了这项研究,他们接受了为期 10 周的饮食干预研究,比较两种低热量(每天减少 600 卡路里)饮食,脂肪含量不同。

结果

多元回归模型显示,第 10 周的体重减轻由以下因素预测:第 1 周的早期体重减轻(kg)×1.27(1.27×1.27=1.61)+性别×1.35(1.35×1.35=1.82)(R²=0.28,p<0.001)。当用第 5 周的中途体重减轻(half-way weight loss)作为协变量进行相应的模型分析时,回归方程为:第 10 周的体重减轻(kg)=1.88+1.38×中途体重减轻(kg)(第 5 周)+0.42×性别(R²=0.77,p<0.001)。第 5 周体重减轻≥4kg 成为达到第 10 周至少 10%体重减轻的最佳预测指标。高脂肪饮食、早期和中途体重减轻减少预测了更高的脱落可能性。

结论

早期和中途体重减轻与最终体重减轻和脱落相关,并可能有助于预测最终体重减轻和脱落。

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